Author

Kezie Osei

Virginia Commonwealth University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Musaddiq K LodiiD· 1 shared Muzammil Lodi· 1 shared Preetam GhoshiD· 1 shared Priscilla Y. HwangiD· 1 shared Vaishnavi Nattar RanganathaniD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Musaddiq K LodiORCID

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1 paper

Recent·Most cited

CHAI: Consensus Clustering Through Similarity Matrix Integration for Cell-Type Identification

Musaddiq K Lodi, Muzammil Lodi, Kezie Osei, Vaishnavi Nattar Ranganathan, Priscilla Y. Hwang, Preetam Ghosh

CHAI improves cell-type identification in scRNA-seq by integrating clustering results from multiple methods, outperforming existing approaches and supporting spatial transcriptomics data.

Briefings in Bioinformatics · Jul 25, 2024Peer-reviewedBioinformatics